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AIWerk

@aiwerk/mcp-server-ghl

by AIWerk

social_media_posting_get_social_media_statistics

Read-only

Fetch social media analytics for connected profiles, filter by platform or location, and retrieve account statistics to track performance.

Instructions

Get Social Media Statistics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformsNoArray of social media platforms to filter analytics by. If not provided, all platforms will be included. NOTE: Linkedin (PAGE only) and Tiktok (BUSINESS only) are supported.
locationIdNoLocation ID Defaults to GHL_LOCATION_ID when omitted.
profileIdsYesArray of connected social media account IDs to fetch analytics for. This can be found as 'profileId' in /accounts api.
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds no behavioral context beyond the name—no mention of return structure, pagination, or platform caveats. It fails to add value beyond the structured annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence, but it essentially restates the tool name and carries no additional information. It is not front-loaded with critical context, and the brevity does not compensate for the lack of guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description should explain what statistics are returned (e.g., reach, impressions, engagement) and any access requirements. It does none of this, leaving the agent to infer the tool's behavior from the name and schema alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and all parameters have detailed descriptions (e.g., platforms enum with platform-specific notes, locationId default, profileIds source). The description itself adds no parameter information, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Get Social Media Statistics' uses a specific verb ('get') and resource ('social media statistics'), clearly distinguishing it from sibling tools that fetch accounts, posts, or profiles. It is not a tautology, but it lacks detail on what statistics are included, which keeps it from a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, such as needing connected accounts, or any caveats like platform-specific limitations. The description gives no contextual selection cues.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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